Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-07-04 10:22:06	ga_s2bm_ard_3-2-1_53HQB_2017-07-04_final.stac-item
2017-07-09 11:12:15	ga_s2bm_ard_3-2-1_52KED_2017-07-09_final.stac-item
2017-08-21 11:24:49	ga_s2bm_ard_3-2-1_51JVK_2017-08-21_final.stac-item
2017-10-17 11:12:01	ga_s2bm_ard_3-2-1_52KBB_2017-10-17_final.stac-item
2017-11-09 11:19:31	ga_s2bm_ard_3-2-1_52LBJ_2017-11-09_final.stac-item
2017-12-16 11:07:00	ga_s2bm_ard_3-2-1_52LDJ_2017-12-16_final.stac-item
2017-12-24 10:26:56	ga_s2bm_ard_3-2-1_53JQJ_2017-12-24_final.stac-item
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KUR_2018-01-01_final.stac-item
2018-01-29 10:53:08	ga_s2bm_ard_3-2-1_52JFN_2018-01-29_final.stac-item
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JFM_2018-02-01_final.stac-item
2018-02-25 10:42:58	ga_s2bm_ard_3-2-1_53JKG_2018-02-25_final.stac-item
2018-03-03 10:57:06	ga_s2bm_ard_3-2-1_52KEA_2018-03-03_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53JNH_2018-05-23_final.stac-item
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49JGN_2018-06-09_final.stac-item
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_51KUQ_2018-06-23_final.stac-item
2018-07-31 11:06:20	ga_s2bm_ard_3-2-1_51HYD_2018-07-31_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JNN_2018-08-21_final.stac-item
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_52KBA_2018-10-15_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KUU_2018-10-31_final.stac-item
2018-12-01 11:13:24	ga_s2bm_ard_3-2-1_51KZS_2018-12-01_final.stac-item
2018-12-05 10:55:41	ga_s2bm_ard_3-2-1_52JFM_2018-12-05_final.stac-item
2019-01-05 10:25:33	ga_s2bm_ard_3-2-1_53JQG_2019-01-05_final.stac-item
2019-01-10 11:13:18	ga_s2bm_ard_3-2-1_52KDB_2019-01-10_final.stac-item
2019-01-23 11:24:04	ga_s2bm_ard_3-2-1_51KZP_2019-01-23_final.stac-item
2019-03-22 10:45:58	ga_s2bm_ard_3-2-1_53JKF_2019-03-22_final.stac-item
2019-03-26 10:24:41	ga_s2bm_ard_3-2-1_53JQL_2019-03-26_final.stac-item
2019-04-26 11:32:04	ga_s2bm_ard_3-2-1_51LXC_2019-04-26_final.stac-item
2019-05-14 10:55:50	ga_s2bm_ard_3-2-1_52JGM_2019-05-14_final.stac-item
2019-05-16 11:35:57	ga_s2bm_ard_3-2-1_51JUG_2019-05-16_final.stac-item
2019-05-29 11:47:15	ga_s2bm_ard_3-2-1_50HNH_2019-05-29_final.stac-item
2019-05-30 11:13:34	ga_s2bm_ard_3-2-1_52KBB_2019-05-30_final.stac-item
2019-06-22 11:25:32	ga_s2bm_ard_3-2-1_51JXJ_2019-06-22_final.stac-item
2019-07-09 11:15:19	ga_s2bm_ard_3-2-1_51JYK_2019-07-09_final.stac-item
2019-07-17 10:36:11	ga_s2bm_ard_3-2-1_53HPE_2019-07-17_final.stac-item
2019-08-01 11:23:52	ga_s2bm_ard_3-2-1_51KZQ_2019-08-01_final.stac-item
2019-08-03 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2019-08-03_final.stac-item
2019-09-02 10:26:39	ga_s2bm_ard_3-2-1_53HPC_2019-09-02_final.stac-item
2019-09-03 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2019-09-03_final.stac-item
2019-09-17 11:13:51	ga_s2bm_ard_3-2-1_52KCV_2019-09-17_final.stac-item
2019-10-11 10:54:53	ga_s2bm_ard_3-2-1_53JLK_2019-10-11_final.stac-item
2019-11-19 11:25:55	ga_s2bm_ard_3-2-1_51JWG_2019-11-19_final.stac-item
2020-02-07 11:23:44	ga_s2bm_ard_3-2-1_52KBV_2020-02-07_final.stac-item
2020-02-20 11:36:14	ga_s2bm_ard_3-2-1_51JTF_2020-02-20_final.stac-item
2020-03-02 11:05:20	ga_s2bm_ard_3-2-1_52JCP_2020-03-02_final.stac-item
2020-06-11 10:34:49	ga_s2bm_ard_3-2-1_53JQK_2020-06-11_final.stac-item
2020-09-01 11:12:09	ga_s2bm_ard_3-2-1_52KDG_2020-09-01_final.stac-item
2020-09-16 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2020-09-16_final.stac-item
2021-01-29 11:13:15	ga_s2bm_ard_3-2-1_52KEB_2021-01-29_final.stac-item
2021-01-31 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2021-01-31_final.stac-item
2021-02-03 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2021-02-03_final.stac-item
2021-02-23 12:03:39	ga_s2bm_ard_3-2-1_50KLB_2021-02-23_final.stac-item
2021-03-29 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2021-03-29_final.stac-item
2021-04-18 11:44:08	ga_s2bm_ard_3-2-1_51KUP_2021-04-18_final.stac-item
2021-04-28 11:42:41	ga_s2bm_ard_3-2-1_51KUV_2021-04-28_final.stac-item
2021-05-05 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2021-05-05_final.stac-item
2021-05-26 11:05:16	ga_s2bm_ard_3-2-1_52JEP_2021-05-26_final.stac-item
2021-06-01 11:24:05	ga_s2bm_ard_3-2-1_51KZP_2021-06-01_final.stac-item
2021-06-01 11:25:32	ga_s2bm_ard_3-2-1_51JVJ_2021-06-01_final.stac-item
2021-09-15 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2021-09-15_final.stac-item
2021-10-03 11:03:49	ga_s2bm_ard_3-2-1_52KEV_2021-10-03_final.stac-item
2021-10-13 11:03:28	ga_s2bm_ard_3-2-1_52KGA_2021-10-13_final.stac-item
2021-10-15 11:44:14	ga_s2bm_ard_3-2-1_51KUP_2021-10-15_final.stac-item
2021-10-26 11:13:02	ga_s2bm_ard_3-2-1_52KEC_2021-10-26_final.stac-item
2021-10-31 10:26:37	ga_s2bm_ard_3-2-1_53HPC_2021-10-31_final.stac-item
2021-11-07 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2021-11-07_final.stac-item
2021-12-21 11:33:54	ga_s2bm_ard_3-2-1_51KVQ_2021-12-21_final.stac-item
2022-01-07 11:21:55	ga_s2bm_ard_3-2-1_51LYC_2022-01-07_final.stac-item
2022-01-07 11:24:00	ga_s2bm_ard_3-2-1_51KZP_2022-01-07_final.stac-item
2022-01-27 11:23:56	ga_s2bm_ard_3-2-1_51KWQ_2022-01-27_final.stac-item
2022-01-30 11:33:28	ga_s2bm_ard_3-2-1_51KUS_2022-01-30_final.stac-item
2022-03-16 10:45:38	ga_s2bm_ard_3-2-1_53JLG_2022-03-16_final.stac-item
2022-04-16 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2022-04-16_final.stac-item
2022-04-19 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2022-04-19_final.stac-item
2022-04-23 11:43:38	ga_s2bm_ard_3-2-1_51KUR_2022-04-23_final.stac-item
2022-05-12 10:35:50	ga_s2bm_ard_3-2-1_53JNF_2022-05-12_final.stac-item
2022-06-03 11:12:42	ga_s2bm_ard_3-2-1_52KFD_2022-06-03_final.stac-item
2022-09-20 11:46:14	ga_s2bm_ard_3-2-1_50JMM_2022-09-20_final.stac-item
2022-11-26 11:36:04	ga_s2bm_ard_3-2-1_50JQM_2022-11-26_final.stac-item
2022-12-16 11:36:22	ga_s2bm_ard_3-2-1_51HVE_2022-12-16_final.stac-item
2022-12-20 11:11:00	ga_s2bm_ard_3-2-1_52LFL_2022-12-20_final.stac-item
2023-01-16 11:05:19	ga_s2bm_ard_3-2-1_52JCP_2023-01-16_final.stac-item
2023-02-04 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2023-02-04_final.stac-item
2023-02-14 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2023-02-14_final
2023-04-22 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2023-04-22_final
2023-05-12 11:24:32	ga_s2bm_ard_3-2-1_51JWN_2023-05-12_final
2023-06-11 11:25:43	ga_s2bm_ard_3-2-1_51JXH_2023-06-11_final
2023-06-15 11:03:10	ga_s2bm_ard_3-2-1_52KEC_2023-06-15_final
2023-06-24 11:32:23	ga_s2bm_ard_3-2-1_51KVB_2023-06-24_final
2023-07-14 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2023-07-14_final
2023-07-27 11:42:19	ga_s2bm_ard_3-2-1_51KVB_2023-07-27_final
2023-09-03 11:02:59	ga_s2bm_ard_3-2-1_52KHC_2023-09-03_final
2023-09-15 11:42:30	ga_s2bm_ard_3-2-1_51KVA_2023-09-15_final
2023-10-02 11:31:30	ga_s2bm_ard_3-2-1_52LBJ_2023-10-02_final
2023-10-18 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2023-10-18_final
2023-12-12 11:06:21	ga_s2bm_ard_3-2-1_52HCK_2023-12-12_final
2024-01-15 10:46:04	ga_s2bm_ard_3-2-1_53HME_2024-01-15_final
2024-01-17 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2024-01-17_final
2024-01-27 11:23:19	ga_s2bm_ard_3-2-1_52KBB_2024-01-27_final
2024-03-11 11:01:46	ga_s2bm_ard_3-2-1_52LFH_2024-03-11_final
2024-04-10 11:06:37	ga_s2bm_ard_3-2-1_51HYD_2024-04-10_final

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years